scRNAtools: Single Cell RNA Sequencing Data Analysis Tools
We integrated the common analysis methods utilized in single cell RNA sequencing data, which included cluster method, principal components analysis (PCA), the filter of differentially expressed genes, pathway enrichment analysis and correlated analysis methods.
Version:
1.0
Imports:
ALL,
ConsensusClusterPlus,
scatterplot3d,
ggplot2,
Rtsne,
limma,
edgeR,
TPEA,
Rmisc,
lattice,
plyr,
ggthemes,
reshape2,
PerformanceAnalytics,
corrplot,
Hmisc,
igraph,
survival
Suggests:
grid
Published:
2018年07月05日
Author:
Qian Yang
Maintainer:
Qian Yang <bioqianyang at 163.com>
NeedsCompilation:
no
Documentation:
Downloads:
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